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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description What you will be doing For the TKI funded
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Deadline 20 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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-THEORETICALPARTICLEPHYSICS [#30493] Position Title: Position Type: Postdoctoral Position Location: Nijmegen, 6525 HP, Netherlands (Kingdom of the) [map ] Subject Area: Mathematics, Statistics, and Computer Science Appl
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, personalized digital solutions that support behavior change. PhD Candidate Predicting Adherence to Digital Health-Promoting Interventions Our goal: To make digital health interventions more effective by
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pathways across the entire steel value chain. Within the GGS programme, two PhD positions are available at CML: PhD on Prospective Life Cycle Assessment (LCA): This project focuses on assessing innovative
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expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. The preferred starting date is as soon as possible
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Understanding the nature of enzyme promiscuity whilst enabling a more sustainable future. Job description The research group headed by PI Dr. Reuben Leveson-Gower is hiring a PhD student to work